Training, crossvalidation and testing binding thrombin dataset

@@ -234,13 +234,17 @@ if __name__ == "__main__":
     print("   Done!")
 
     print("Testing (prediction in new data)...")
+    if args.reduction is not None:
+        X_test = reduc.transform(X_test)
     y_pred = classifier.predict(X_test)
     print("   Done!")
 
     print("Saving report...")
     with open(os.path.join(args.outputReportPath, args.outputReportFile), mode='w', encoding='utf8') as oFile:
         oFile.write('**********        EVALUATION REPORT     **********\n')
+        oFile.write('Reduction: {}\n'.format(args.reduction))
         oFile.write('Classifier: {}\n'.format(args.classifier))
+        oFile.write('Kernel: {}\n'.format(args.kernel))
         oFile.write('Accuracy: {}\n'.format(accuracy_score(y_test, y_pred)))
         oFile.write('Precision: {}\n'.format(precision_score(y_test, y_pred, average='weighted')))
         oFile.write('Recall: {}\n'.format(recall_score(y_test, y_pred, average='weighted')))